Data Engineer - Flight Data (contract)
Palo Alto, CA
- Pay
USD 60–70/hour — pay source
Salary 60 – 70 USD per hour Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
Read the full posting- Work setup
- Unconfirmed
- Employment
Contract — employment source
Employment type Contract
Read the full posting
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related technical discipline
- 3+ years of professional data engineering experience building and operating production pipelines
- Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery)
- Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review
- Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
Preferred experience
- 5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system
- Familiarity/experience with one or more of the following
Qualification wording
Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related technical discipline
3+ years of professional data engineering experience building and operating production pipelines
Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery)
Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review
Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system
Familiarity/experience with one or more of the following
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Grafana
- S3
- Snowflake
- Spark
- Terraform
- BigQuery
- Trino
Source — Tool mentions in context
- Data modeling: Design and maintain curated marts — flight runs, component flight hours, vehicle modes, battery flight features — in SQL, with clear grain, documented lineage, and idempotent incremental refresh. - Fleet alerting services: Develop and operate the Python services that evaluate flight-by-flight health checks and deliver alerts to engineering and customer-facing channels via SNS and Slack. - Data quality: Own the automated quality gates — mart freshness, source-to-mart reconciliation, and watermark integrity — and block deploys that would publish incorrect fleet data.
- Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery) - Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review - Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
- Pipeline development: Build and maintain the ingest and transformation pipelines that land aircraft telemetry from S3 into the flight data warehouse (AWS Glue, Athena), including schema evolution as firmware logging changes. - Data modeling: Design and maintain curated marts — flight runs, component flight hours, vehicle modes, battery flight features — in SQL, with clear grain, documented lineage, and idempotent incremental refresh. - Fleet alerting services: Develop and operate the Python services that evaluate flight-by-flight health checks and deliver alerts to engineering and customer-facing channels via SNS and Slack.
- 3+ years of professional data engineering experience building and operating production pipelines - Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery) - Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review
Responsibilities - Pipeline development: Build and maintain the ingest and transformation pipelines that land aircraft telemetry from S3 into the flight data warehouse (AWS Glue, Athena), including schema evolution as firmware logging changes. - Data modeling: Design and maintain curated marts — flight runs, component flight hours, vehicle modes, battery flight features — in SQL, with clear grain, documented lineage, and idempotent incremental refresh.
- Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review - Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM - Dimensional modeling and warehouse design, including partitioning strategy for large tables
- Infrastructure as code with Terraform, and building deployment pipelines in GitLab CI or equivalent - Transformation frameworks such as dbt, and data quality/testing frameworks - High-volume time-series or sensor telemetry, and observability tooling (Grafana, CloudWatch, or similar), including alert design that avoids alarm fatigue
- Transformation frameworks such as dbt, and data quality/testing frameworks - High-volume time-series or sensor telemetry, and observability tooling (Grafana, CloudWatch, or similar), including alert design that avoids alarm fatigue Familiarity/experience with one or more of the following
- 5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system - Infrastructure as code with Terraform, and building deployment pipelines in GitLab CI or equivalent - Transformation frameworks such as dbt, and data quality/testing frameworks
Job description
Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market.
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026.
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.
Pivotal is seeking a Data Engineer to build and operate the flight data warehouse — the system of record for telemetry off every aircraft in the fleet. Flight logs land continuously from customer and test aircraft; you will turn them into curated datasets, automated fleet health alerts, and dashboards that the firmware, GNC, battery, flight operations, and MRO teams rely on to make airworthiness and design decisions. This is a small team building production infrastructure, so you will own pipelines end to end: the data model, the services that run on it, the infrastructure as code that deploys them, and the monitoring that tells us when they break.
Responsibilities
- Pipeline development: Build and maintain the ingest and transformation pipelines that land aircraft telemetry from S3 into the flight data warehouse (AWS Glue, Athena), including schema evolution as firmware logging changes.
- Data modeling: Design and maintain curated marts — flight runs, component flight hours, vehicle modes, battery flight features — in SQL, with clear grain, documented lineage, and idempotent incremental refresh.
- Fleet alerting services: Develop and operate the Python services that evaluate flight-by-flight health checks and deliver alerts to engineering and customer-facing channels via SNS and Slack.
- Data quality: Own the automated quality gates — mart freshness, source-to-mart reconciliation, and watermark integrity — and block deploys that would publish incorrect fleet data.
- Analytics enablement: Build the dashboards and query interfaces engineering teams use to monitor the fleet, and convert repeated one-off analyses into supported datasets.
- Collaboration: Work directly with firmware, GNC, battery, systems engineering, flight operations, and MRO to define what gets logged, what gets alerted on, and what “good” looks like for each signal.
Qualifications
- Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related technical discipline
- 3+ years of professional data engineering experience building and operating production pipelines
- Strong SQL, including window functions and query tuning on a distributed, columnar engine (Athena/Trino/Presto, Spark, Snowflake, or BigQuery)
- Proficient in Python for production services — not just notebooks: packaging, dependency management, unit tests, and code review
- Hands-on experience with the AWS data stack: S3, Glue, Athena, Lambda, SNS, CloudWatch, and IAM
- Dimensional modeling and warehouse design, including partitioning strategy for large tables
- Excellent analytical and written communication skills, with the ability to work across multidisciplinary teams
Preferred Qualifications
- 5+ years of relevant data engineering experience, including ownership of an on-call or operationally critical data system
- Infrastructure as code with Terraform, and building deployment pipelines in GitLab CI or equivalent
- Transformation frameworks such as dbt, and data quality/testing frameworks
- High-volume time-series or sensor telemetry, and observability tooling (Grafana, CloudWatch, or similar), including alert design that avoids alarm fatigue
Familiarity/experience with one or more of the following
- Aerospace, automotive, or robotics telemetry and flight/vehicle test data
- Embedded logging formats and decoding raw device logs (CAN, serial, or proprietary binary packet formats)
- FAA aircraft certification or continued airworthiness processes
- Interest in RC planes, quadcopters, or aviation
Salary
60 – 70 USD per hour
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Employment type
Contract
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 60 – 70 USD per hour Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
- Location & working pattern
Palo Alto, CA
60 – 70 USD per hour Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA. Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 5, 2026
- Recorded sightings
- 18
- Last seen by us
- Oct 11, 2026
- Employer says posted
- Aug 18, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.